ITK  5.2.0
Insight Toolkit
Classes | Public Types | Public Member Functions | Static Public Attributes | List of all members
itk::ImageSource< TOutputImage > Class Template Reference

#include <itkImageSource.h>

+ Inheritance diagram for itk::ImageSource< TOutputImage >:
+ Collaboration diagram for itk::ImageSource< TOutputImage >:

Classes

struct  ThreadStruct
 

Public Types

using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = Superclass::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = TOutputImage
 
using Pointer = SmartPointer< Self >
 
using Self = ImageSource
 
using Superclass = ProcessObject
 
- Public Types inherited from itk::ProcessObject
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = DataObject::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArray = std::vector< DataObjectPointer >
 
using DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
 
using MultiThreaderType = MultiThreaderBase
 
using NameArray = std::vector< DataObjectIdentifierType >
 
using Pointer = SmartPointer< Self >
 
using Self = ProcessObject
 
using Superclass = Object
 
- Public Types inherited from itk::Object
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = Object
 
using Superclass = LightObject
 
- Public Types inherited from itk::LightObject
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = LightObject
 

Public Member Functions

virtual const char * GetNameOfClass () const
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual const bool & GetAbortGenerateData () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
virtual float GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
void IncrementProgress (float increment)
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
virtual void SetReleaseDataFlag (bool val)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void SetNumberOfWorkUnits (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
MultiThreaderTypeGetMultiThreader () const
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void PrepareOutputs ()
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
unsigned long AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const
 
LightObject::Pointer CreateAnother () const override
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexcept override
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
Pointer Clone () const
 
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Attributes

static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
bool m_DynamicMultiThreading
 
OutputImageTypeGetOutput ()
 
const OutputImageTypeGetOutput () const
 
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftOutput (DataObject *graft)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *graft)
 
ProcessObject::DataObjectPointer MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
 
ProcessObject::DataObjectPointer MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
 
 ImageSource ()
 
 ~ImageSource () override=default
 
void GenerateData () override
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)
 
virtual void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
virtual void AllocateOutputs ()
 
virtual void BeforeThreadedGenerateData ()
 
virtual void AfterThreadedGenerateData ()
 
virtual const ImageRegionSplitterBaseGetImageRegionSplitter () const
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
virtual void DynamicMultiThreadingOff ()
 
static const ImageRegionSplitterBaseGetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 

Additional Inherited Members

- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool val)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 
- Protected Member Functions inherited from itk::ProcessObject
 ProcessObject ()
 
 ~ProcessObject () override
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)
 
virtual void AddInput (DataObject *input)
 
virtual void PushBackInput (const DataObject *input)
 
virtual void PopBackInput ()
 
virtual void PushFrontInput (const DataObject *input)
 
virtual void PopFrontInput ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
virtual void SetPrimaryInput (DataObject *object)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredInputs () const
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
void SetRequiredInputNames (const NameArray &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType i)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType i) const
 
virtual void SetOutput (const DataObjectIdentifierType &name, DataObject *output)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual void SetPrimaryOutput (DataObject *object)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)
 
virtual void AddOutput (DataObject *output)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredOutputs () const
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
virtual void VerifyPreconditions () ITKv5_CONST
 
virtual void VerifyInputInformation () ITKv5_CONST
 
virtual void GenerateInputRequestedRegion ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual void GenerateOutputInformation ()
 
virtual void PropagateResetPipeline ()
 
virtual void ReleaseInputs ()
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual bool GetThreaderUpdateProgress () const
 
virtual void ThreaderUpdateProgressOn ()
 
virtual void ThreaderUpdateProgressOff ()
 
virtual void SetThreaderUpdateProgress (bool arg)
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &timeStamp)
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 
- Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float progressFixedToFloat (uint32_t fixed)
 
static uint32_t progressFloatToFixed (float f)
 
- Protected Attributes inherited from itk::ProcessObject
bool m_Updating
 
TimeStamp m_OutputInformationMTime
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 
- Static Private Member Functions inherited from itk::ImageSourceCommon
static const ImageRegionSplitterBaseGetGlobalDefaultSplitter ()
 

Detailed Description

template<typename TOutputImage>
class itk::ImageSource< TOutputImage >

Base class for all process objects that output image data.

ImageSource is the base class for all process objects that output image data. Specifically, this class defines the GetOutput() method that returns a pointer to the output image. The class also defines some internal private data members that are used to manage streaming of data.

Memory management in an ImageSource is slightly different than a standard ProcessObject. ProcessObject's always release the bulk data associated with their output prior to GenerateData() being called. ImageSources default to not releasing the bulk data incase that particular memory block is large enough to hold the new output values. This avoids unnecessary deallocation/allocation sequences. ImageSource's can be forced to use a memory management model similar to the default ProcessObject behaviour by calling ProcessObject::ReleaseDataBeforeUpdateFlagOn(). A user may want to set this flag to limit peak memory usage during a pipeline update.

ITK Sphinx Examples:

Definition at line 67 of file itkImageSource.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::ConstPointer = SmartPointer<const Self>

Definition at line 78 of file itkImageSource.h.

◆ DataObjectIdentifierType

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::DataObjectIdentifierType = Superclass::DataObjectIdentifierType

Definition at line 83 of file itkImageSource.h.

◆ DataObjectPointer

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::DataObjectPointer = DataObject::Pointer

Smart Pointer type to a DataObject.

Definition at line 81 of file itkImageSource.h.

◆ DataObjectPointerArraySizeType

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType

Definition at line 84 of file itkImageSource.h.

◆ OutputImagePixelType

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::OutputImagePixelType = typename OutputImageType::PixelType

Definition at line 93 of file itkImageSource.h.

◆ OutputImagePointer

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::OutputImagePointer = typename OutputImageType::Pointer

Definition at line 91 of file itkImageSource.h.

◆ OutputImageRegionType

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::OutputImageRegionType = typename OutputImageType::RegionType

Definition at line 92 of file itkImageSource.h.

◆ OutputImageType

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::OutputImageType = TOutputImage

Some convenient type alias.

Definition at line 90 of file itkImageSource.h.

◆ Pointer

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::Pointer = SmartPointer<Self>

Definition at line 77 of file itkImageSource.h.

◆ Self

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::Self = ImageSource

Standard class type aliases.

Definition at line 75 of file itkImageSource.h.

◆ Superclass

template<typename TOutputImage>
using itk::ImageSource< TOutputImage >::Superclass = ProcessObject

Definition at line 76 of file itkImageSource.h.

Constructor & Destructor Documentation

◆ ImageSource()

template<typename TOutputImage>
itk::ImageSource< TOutputImage >::ImageSource ( )
protected

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

◆ ~ImageSource()

template<typename TOutputImage>
itk::ImageSource< TOutputImage >::~ImageSource ( )
overrideprotecteddefault

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Member Function Documentation

◆ AfterThreadedGenerateData()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData ( )
inlineprotectedvirtual

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented in itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >, itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >, itk::LabelOverlapMeasuresImageFilter< TLabelImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::SLICImageFilter< TInputImage, TOutputImage, TDistancePixel >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::Testing::HashImageFilter< TImageType >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::ShapeLabelMapFilter< TImage, TLabelImage >, itk::ShapeLabelMapFilter< TImage, Image< TImage::PixelType, TImage::ImageDimension > >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::Testing::ComparisonImageFilter< TInputImage, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TLabelMap, TOutputImage >, and itk::LabelMapFilter< TImage, TImage >.

Definition at line 340 of file itkImageSource.h.

◆ AllocateOutputs()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::AllocateOutputs ( )
protectedvirtual

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Some filters may want to override this default behavior. For example, a filter may have multiple outputs with varying resolution. Or a filter may want to process data in place by grafting its input to its output.

Reimplemented in itk::LabelOverlapMeasuresImageFilter< TLabelImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::InPlaceLabelMapFilter< TImage >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TDisplacementField, TDisplacementField >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TImageType, TImageType >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TMask, TImage >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > >, itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, and itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > >.

◆ BeforeThreadedGenerateData()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::BeforeThreadedGenerateData ( )
inlineprotectedvirtual

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Reimplemented in itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >, itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >, itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::LabelOverlapMeasuresImageFilter< TLabelImage >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >, itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::BSplineControlPointImageFilter< TInputImage, TOutputImage >, itk::IntensityWindowingImageFilter< TInputImage, TOutputImage >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::RescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType, TKernel >, itk::WeightedAddImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::SLICImageFilter< TInputImage, TOutputImage, TDistancePixel >, itk::LabelVotingImageFilter< TInputImage, TOutputImage >, itk::TimeVaryingVelocityFieldIntegrationImageFilter< TTimeVaryingVelocityField, TDisplacementField >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::VectorRescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >, itk::VectorIndexSelectionCastImageFilter< TInputImage, TOutputImage >, itk::StatisticsLabelMapFilter< TImage, TFeatureImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ShapeLabelMapFilter< TImage, TLabelImage >, itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >, itk::ShapeLabelMapFilter< TImage, Image< TImage::PixelType, TImage::ImageDimension > >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::ComposeDisplacementFieldsImageFilter< TInputImage, TOutputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::GridImageSource< TOutputImage >, itk::FFTWComplexToComplexFFTImageFilter< TImage >, itk::Testing::ComparisonImageFilter< TInputImage, TOutputImage >, itk::InvertIntensityImageFilter< TInputImage, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >, itk::FFTWInverseFFTImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::DivideOrZeroOutImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelToRGBImageFilter< TLabelImage, TOutputImage >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::LabelMapToRGBImageFilter< TInputImage, TOutputImage >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TLabelMap, TOutputImage >, itk::LabelMapFilter< TImage, TImage >, itk::Testing::StretchIntensityImageFilter< TInputImage, TOutputImage >, itk::ComposeImageFilter< TInputImage, TOutputImage >, itk::LabelMapToLabelImageFilter< TInputImage, TOutputImage >, and itk::VnlComplexToComplexFFTImageFilter< TImage >.

Definition at line 326 of file itkImageSource.h.

◆ ClassicMultiThread()

template<typename TOutputImage>
void itk::ImageSource< TOutputImage >::ClassicMultiThread ( ThreadFunctionType  callbackFunction)
protected

Many filters do special management of image buffer and threading, so this method provides just the multi-threaded invocation part of GenerateData() method.

◆ DynamicMultiThreadingOff()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::DynamicMultiThreadingOff ( )
protectedvirtual

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

◆ DynamicMultiThreadingOn()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::DynamicMultiThreadingOn ( )
protectedvirtual

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

◆ DynamicThreadedGenerateData()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::DynamicThreadedGenerateData ( const OutputImageRegionType outputRegionForThread)
protectedvirtual

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Reimplemented in itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::PhysicalPointImageSource< TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::Testing::ExtractSliceImageFilter< TInputImage, TOutputImage >, itk::TernaryGeneratorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage >, itk::TernaryGeneratorImageFilter< TMask, TImage, TImage, TImage >, itk::BinaryGeneratorImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::BinaryGeneratorImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::BinaryGeneratorImageFilter< TInputImage1, TInputImage2, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::BinaryGeneratorImageFilter< TInputImage, TLabelImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::UnaryGeneratorImageFilter< TInputImage, TOutputImage >, itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType, TOutputImageType >, itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, itk::TransformToDisplacementFieldFilter< TOutputImage, TParametersValueType >, itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::LabelVotingImageFilter< TInputImage, TOutputImage >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >, itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > >, itk::ThresholdImageFilter< TImage >, itk::SliceImageFilter< TInputImage, TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::RandomImageSource< TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::MovingHistogramImageFilter< TImageType, TImageType, TKernel, Function::AdaptiveEqualizationHistogram< TImageType::PixelType, TImageType::PixelType > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologicalGradientHistogram< TInputImage::PixelType > >, itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage >, itk::CastImageFilter< TInputImage, TOutputImage >, itk::FFTWComplexToComplexFFTImageFilter< TImage >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::CastImageFilter< FeatureImageType, ImageType >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Clamp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFixedDimensionFunction< TMatrixDimension, TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TImage, TImage, Functor::BinaryNot< TImage::PixelType > >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinShrinkImageFilter< TInputImage, TOutputImage >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::FFTWInverseFFTImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::Testing::StretchIntensityImageFilter< TInputImage, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MinimumAccumulator< TInputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TLabelMap, TOutputImage >, itk::LabelMapFilter< TImage, TImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::PadImageFilterBase< TInputImage, TOutputImage >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::HalfToFullHermitianImageFilter< TInputImage >, itk::FullToHalfHermitianImageFilter< TInputImage >, itk::BoxMeanImageFilter< TInputImage, TOutputImage >, itk::BoxSigmaImageFilter< TInputImage, TOutputImage >, itk::VnlComplexToComplexFFTImageFilter< TImage >, itk::BSplineControlPointImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::Testing::ComparisonImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::CyclicShiftImageFilter< TInputImage, TOutputImage >, and itk::CheckerBoardImageFilter< TImage >.

◆ GenerateData()

template<typename TOutputImage>
void itk::ImageSource< TOutputImage >::GenerateData ( )
overrideprotectedvirtual

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling DynamicThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter can be threaded, it should NOT provide a GenerateData() method but should provide a DynamicThreadedGenerateData() instead.

See also
ThreadedGenerateData()

Reimplemented from itk::ProcessObject.

Reimplemented in itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFiniteDifferenceFunction, TIdCell >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, unsigned int >, itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::N4BiasFieldCorrectionImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >, itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::DisplacementFieldToBSplineImageFilter< TInputImage, TInputPointSet, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >, itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType >, itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::STAPLEImageFilter< TInputImage, TOutputImage >, itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::ObjectByObjectLabelMapFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::HistogramThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::VTKImageImport< TOutputImage >, itk::ImageSeriesReader< TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::InverseDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::SLICImageFilter< TInputImage, TOutputImage, TDistancePixel >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::ClampImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarPixelsFunctor< TInputImage::ValueType >, TMaskImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage >, itk::UnsharpMaskImageFilter< TInputImage, TOutputImage, TInternalPrecision >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::LandmarkDisplacementFieldSource< TOutputImage >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage, TOutputImage >, itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >, itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >, itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::InvertDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::DirectFourierReconstructionImageToImageFilter< TInputImage, TOutputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GaussianImageSource< TOutputImage >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ExponentialDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramProbabilityFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramLogProbabilityFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramEntropyFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramIntensityFunction< SizeValueType, TImage::PixelType > >, itk::CastImageFilter< TInputImage, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::CastImageFilter< FeatureImageType, ImageType >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::WienerDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >, itk::IntermodesThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::FFTConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::LevelSetDomainMapImageFilter< TInputImage, TOutputImage >, itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage, TInternalPixel >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::GridForwardWarpImageFilter< TDisplacementField, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::IterativeInverseDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::FFTWForwardFFTImageFilter< TInputImage, TOutputImage >, itk::FFTWRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::BinaryOpeningByReconstructionImageFilter< TInputImage, TKernel >, itk::HardConnectedComponentImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >, itk::ConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage >, itk::AreaOpeningImageFilter< TInputImage, TOutputImage, TAttribute >, itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryClosingByReconstructionImageFilter< TInputImage, TKernel >, itk::AreaClosingImageFilter< TInputImage, TOutputImage, TAttribute >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::LabelMapToAttributeImageFilter< TInputImage, TOutputImage, TAttributeAccessor >, itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::GaborImageSource< TOutputImage >, itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::StochasticFractalDimensionImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::AttributeUniqueLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< TInputImage::ImageDimension > > >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::AttributeRelabelLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, itk::VnlHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >, itk::SpatialFunctionImageEvaluatorFilter< TSpatialFunction, TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage, TOutputImage >, itk::VnlInverseFFTImageFilter< TInputImage, TOutputImage >, itk::VnlRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >, itk::VnlForwardFFTImageFilter< TInputImage, TOutputImage >, itk::ConvertLabelMapFilter< TInputImage, TOutputImage >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >, and itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >.

Referenced by itk::BinaryNotImageFilter< TImage >::GenerateData().

◆ GetDynamicMultiThreading()

template<typename TOutputImage>
virtual bool itk::ImageSource< TOutputImage >::GetDynamicMultiThreading ( ) const
protectedvirtual

Whether to use classic multi-threading infrastructure (OFF by default). Classic multi-threading uses derived class' ImageRegionSplitter, thus enabling custom region splitting methods.

◆ GetGlobalDefaultSplitter()

template<typename TOutputImage>
static const ImageRegionSplitterBase* itk::ImageSource< TOutputImage >::GetGlobalDefaultSplitter ( )
inlinestaticprotected

Returns the default image region splitter.

This is an adapter function from the private common base class to the interface of this class.

Definition at line 349 of file itkImageSource.h.

◆ GetImageRegionSplitter()

template<typename TOutputImage>
virtual const ImageRegionSplitterBase* itk::ImageSource< TOutputImage >::GetImageRegionSplitter ( ) const
protectedvirtual

Get the image splitter to split the image for multi-threading.

The Splitter object divides the image into regions for threading or streaming. The algorithms on how to split an images are separated into class so that they can be easily be reused. When deriving from this class to write a filter consideration to the algorithm used to divide the image should be made. If a change is desired this method should be overridden to return the appropriate object.

◆ GetNameOfClass()

template<typename TOutputImage>
virtual const char* itk::ImageSource< TOutputImage >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ProcessObject.

Reimplemented in itk::SymmetricEigenAnalysisFixedDimensionImageFilter< TMatrixDimension, TInputImage, TOutputImage >, itk::SymmetricEigenAnalysisImageFilter< TInputImage, TOutputImage >, itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::MovingHistogramMorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >, itk::JoinImageFilter< TInputImage1, TInputImage2 >, itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, itk::RescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::WatershedImageFilter< TInputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFiniteDifferenceFunction, TIdCell >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, unsigned int >, itk::IntensityWindowingImageFilter< TInputImage, TOutputImage >, itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::SigmoidImageFilter< TInputImage, TOutputImage >, itk::SparseFieldFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::ClampImageFilter< TInputImage, TOutputImage >, itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType, TMaskImageType >, itk::AdaptImageFilter< TInputImage, TOutputImage, TAccessor >, itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >, itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >, itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >, itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >, itk::WeightedAddImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >, itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType >, itk::ChangeLabelImageFilter< TInputImage, TOutputImage >, itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >, itk::STAPLEImageFilter< TInputImage, TOutputImage >, itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >, itk::ScalarConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::ObjectByObjectLabelMapFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::VectorRescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, itk::VectorConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::NaryMaximumImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::NarrowBandCurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::MergeLabelMapFilter< TImage >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::CastImageFilter< TInputImage, TOutputImage >, itk::StandardDeviationProjectionImageFilter< TInputImage, TOutputImage, TAccumulate >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::CastImageFilter< FeatureImageType, ImageType >, itk::NaryAddImageFilter< TInputImage, TOutputImage >, itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::GPUBinaryThresholdImageFilter< TInputImage, TOutputImage >, itk::HistogramToEntropyImageFilter< THistogram, TImage >, itk::InvertIntensityImageFilter< TInputImage, TOutputImage >, itk::Testing::ExtractSliceImageFilter< TInputImage, TOutputImage >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TOutputImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TDisplacementField, TDisplacementField >, itk::ImageToImageFilter< TTimeVaryingVelocityField, TDisplacementField >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TLabelImage, TLabelImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< TDisplacementField, TOutputImage >, itk::ImageToImageFilter< TLabelMap, TOutputImage >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType, TInputImage::ImageDimension >, TInputImage::ImageDimension > >, itk::ImageToImageFilter< TMask, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::ExpNegativeImageFilter< TInputImage, TOutputImage >, itk::RecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >, itk::MultiphaseDenseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, itk::MultiphaseDenseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction >, itk::VectorIndexSelectionCastImageFilter< TInputImage, TOutputImage >, itk::HistogramToLogProbabilityImageFilter< THistogram, TImage >, itk::PowImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::CurvatureRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField, TImageForceFunction >, itk::ConstrainedValueAdditionImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::BinaryThresholdProjectionImageFilter< TInputImage, TOutputImage >, itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >, itk::MagnitudeAndPhaseToComplexImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::BinaryProjectionImageFilter< TInputImage, TOutputImage >, itk::MatrixIndexSelectionImageFilter< TInputImage, TOutputImage >, itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::AbsoluteValueDifferenceImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::HistogramToProbabilityImageFilter< THistogram, TImage >, itk::ConstrainedValueDifferenceImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::NarrowBandThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShotNoiseImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >, itk::SquaredDifferenceImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::N4BiasFieldCorrectionImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::MeanProjectionImageFilter< TInputImage, TOutputImage, TAccumulate >, itk::LevelSetMotionRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >, itk::BinaryMagnitudeImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::BinaryNotImageFilter< TImage >, itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::MovingHistogramImageFilterBase< TImageType, TImageType, TKernel >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage >, itk::Hessian3DToVesselnessMeasureImageFilter< TPixel >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarPixelsFunctor< TInputImage::ValueType >, TMaskImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::SumProjectionImageFilter< TInputImage, TOutputImage >, itk::MaximumImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDisplacementField, TRealType, TFloatImageType, TRegistrationType, TDefaultRegistrationType >, itk::MovingHistogramImageFilter< TImageType, TImageType, TKernel, Function::AdaptiveEqualizationHistogram< TImageType::PixelType, TImageType::PixelType > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologicalGradientHistogram< TInputImage::PixelType > >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType, TRadiusPixelType >, itk::AddImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::Atan2ImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType, TKernel >, itk::AcosImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::AreaOpeningImageFilter< TInputImage, TOutputImage, TAttribute >, itk::AsinImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::MinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::TensorFractionalAnisotropyImageFilter< TInputImage, TOutputImage >, itk::TensorRelativeAnisotropyImageFilter< TInputImage, TOutputImage >, itk::AreaClosingImageFilter< TInputImage, TOutputImage, TAttribute >, itk::HistogramToIntensityImageFilter< THistogram, TImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::MedianProjectionImageFilter< TInputImage, TOutputImage >, itk::CosImageFilter< TInputImage, TOutputImage >, itk::BinaryMinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::AnisotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::BSplineL2ResampleImageFilterBase< TInputImage, TOutputImage >, itk::MaximumProjectionImageFilter< TInputImage, TOutputImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::GPUCastImageFilter< TInputImage, TOutputImage >, itk::RegionGrowImageFilter< TInputImage, TOutputImage >, itk::BSplineCenteredL2ResampleImageFilterBase< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::MinimumProjectionImageFilter< TInputImage, TOutputImage >, itk::AtanImageFilter< TInputImage, TOutputImage >, itk::MinimumImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::UnsharpMaskImageFilter< TInputImage, TOutputImage, TInternalPrecision >, itk::BinaryReconstructionByDilationImageFilter< TInputImage >, itk::BinaryReconstructionByErosionImageFilter< TInputImage >, itk::BSplineResampleImageFilterBase< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::ComplexToComplexFFTImageFilter< TImage >, itk::WienerDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::InPlaceLabelMapFilter< TImage >, itk::DiffeomorphicDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >, itk::TernaryMagnitudeImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage >, itk::TernaryMagnitudeSquaredImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType, TOutputImageType >, itk::GaussianImageSource< TOutputImage >, itk::MaskedRankImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::VectorMagnitudeImageFilter< TInputImage, TOutputImage >, itk::PipelineMonitorImageFilter< TImageType >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >, itk::RichardsonLucyDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::LabelVotingImageFilter< TInputImage, TOutputImage >, itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::SinImageFilter< TInputImage, TOutputImage >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::BoundedReciprocalImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::LabelSelectionLabelMapFilter< TImage >, itk::ShapeLabelMapFilter< TImage, TLabelImage >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::FastSymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TDisplacementField, TDisplacementField >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TImageType, TImageType >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TMask, TImage >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::ShapeLabelMapFilter< TImage, Image< TImage::PixelType, TImage::ImageDimension > >, itk::AbsImageFilter< TInputImage, TOutputImage >, itk::ExpImageFilter< TInputImage, TOutputImage >, itk::TernaryOperatorImageFilter< TMask, TImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage >, itk::IsotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::FFTWComplexToComplexFFTImageFilter< TImage >, itk::Log10ImageFilter< TInputImage, TOutputImage >, itk::SqrtImageFilter< TInputImage, TOutputImage >, itk::TanImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::InverseDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ImplicitManifoldNormalVectorFilter< TInputImage, TSparseOutputImage >, itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::RoundImageFilter< TInputImage, TOutputImage >, itk::SubtractImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::ThresholdImageFilter< TImage >, itk::HardConnectedComponentImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::SymmetricForcesDemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage, TOutputImage >, itk::ScalarChanAndVeseSparseLevelSetImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TSharedData, TIdCell >, itk::EdgePotentialImageFilter< TInputImage, TOutputImage >, itk::LogImageFilter< TInputImage, TOutputImage >, itk::RGBToLuminanceImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::FFTWRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SquareImageFilter< TInputImage, TOutputImage >, itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::ValuedRegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::AttributeSelectionLabelMapFilter< TImage, TAttributeAccessor >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::FFTWForwardFFTImageFilter< TInputImage, TOutputImage >, itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PadImageFilterBase< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::VectorCurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >, itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >, itk::SaltAndPepperNoiseImageFilter< TInputImage, TOutputImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::DenseFiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >, itk::Testing::HashImageFilter< TImageType >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, TCompare1, TCompare2 >, itk::LabelMapToAttributeImageFilter< TInputImage, TOutputImage, TAttributeAccessor >, itk::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::less< TImage::PixelType > >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::greater< TImage::PixelType > >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::BinaryReconstructionLabelMapFilter< TImage, TMarkerImage, TAttributeAccessor >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::UnsharpMaskLevelSetImageFilter< TInputImage, TOutputImage >, itk::FFTPadImageFilter< TInputImage, TOutputImage >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, itk::FFTWInverseFFTImageFilter< TInputImage, TOutputImage >, itk::LabelMapToRGBImageFilter< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::CyclicShiftImageFilter< TInputImage, TOutputImage >, itk::ComplexToImaginaryImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::AttributeUniqueLabelMapFilter< TImage, TAttributeAccessor >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToLabelImageFilter< TInputImage, TOutputImage >, itk::ConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage >, itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::AttributeUniqueLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ComplexToPhaseImageFilter< TInputImage, TOutputImage >, itk::NotImageFilter< TInputImage, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::FastIncrementalBinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ProjectedLandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::DemonsRegistrationFilter< TFixedImage, TMovingImage, TDisplacementField >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::StochasticFractalDimensionImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::BSplineCenteredResampleImageFilterBase< TInputImage, TOutputImage >, itk::ComplexToRealImageFilter< TInputImage, TOutputImage >, itk::DivideImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::ConvertLabelMapFilter< TInputImage, TOutputImage >, itk::LabelUniqueLabelMapFilter< TImage >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ScalarChanAndVeseDenseLevelSetImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TSharedData >, itk::ZeroFluxNeumannPadImageFilter< TInputImage, TOutputImage >, itk::ComplexToModulusImageFilter< TInputImage, TOutputImage >, itk::HistogramThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::ExponentialDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >, itk::BinaryFillholeImageFilter< TInputImage >, itk::BinaryGrindPeakImageFilter< TInputImage >, itk::ShapeOpeningLabelMapFilter< TImage >, itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::LabelToRGBImageFilter< TLabelImage, TOutputImage >, itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::VectorGradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >, itk::AttributeOpeningLabelMapFilter< TImage, TAttributeAccessor >, itk::AttributePositionLabelMapFilter< TImage, TAttributeAccessor, VPhysicalPosition >, itk::RelabelLabelMapFilter< TImage >, itk::StatisticsLabelMapFilter< TImage, TFeatureImage >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::FastMarchingUpwindGradientImageFilter< TLevelSet, TSpeedImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >, itk::FullToHalfHermitianImageFilter< TInputImage >, itk::HalfToFullHermitianImageFilter< TInputImage >, itk::UnaryFrequencyDomainFilter< TImageType, TFrequencyIterator >, itk::SLICImageFilter< TInputImage, TOutputImage, TDistancePixel >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::HistogramToImageFilter< THistogram, TImage, TFunction >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::AttributeRelabelLabelMapFilter< TImage, TAttributeAccessor >, itk::ChangeLabelLabelMapFilter< TImage >, itk::VotingBinaryIterativeHoleFillingImageFilter< TImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputImage, TOutputImage >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramProbabilityFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramLogProbabilityFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramEntropyFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramIntensityFunction< SizeValueType, TImage::PixelType > >, itk::AttributeRelabelLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::BinShrinkImageFilter< TInputImage, TOutputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::OrImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::XorImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, TFunction1 >, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >, itk::AttributeKeepNObjectsLabelMapFilter< TImage, TAttributeAccessor >, itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::VnlHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >, itk::FFTConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::GridForwardWarpImageFilter< TDisplacementField, TOutputImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MinFunctor< TImage::PixelType > >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MaxFunctor< TImage::PixelType > >, itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double >, itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >, itk::BSplineControlPointImageFilter< TInputImage, TOutputImage >, itk::AndImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::RandomImageSource< TOutputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::TransformToDisplacementFieldFilter< TOutputImage, TParametersValueType >, itk::CurvatureAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelLabelMapFilter< TImage >, itk::ShapeUniqueLabelMapFilter< TImage >, itk::StatisticsKeepNObjectsLabelMapFilter< TImage >, itk::StatisticsOpeningLabelMapFilter< TImage >, itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::ProjectedIterativeDeconvolutionImageFilter< LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision > >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::ComposeImageFilter< TInputImage, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::ShapeKeepNObjectsLabelMapFilter< TImage >, itk::StatisticsRelabelLabelMapFilter< TImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MinimumAccumulator< TInputImage::PixelType > >, itk::BinaryGeneratorImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::SliceImageFilter< TInputImage, TOutputImage >, itk::LiThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::GenerateImageSource< TOutputImage >, itk::ParametricImageSource< TOutputImage >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, TFunction1 >, itk::StatisticsPositionLabelMapFilter< TImage >, itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage >, itk::VTKImageImport< TOutputImage >, itk::BinaryGeneratorImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::BinaryGeneratorImageFilter< TInputImage1, TInputImage2, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::BinaryGeneratorImageFilter< TInputImage, TLabelImage, TOutputImage >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::greater< TImage::PixelType > >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::less< TImage::PixelType > >, itk::UnaryGeneratorImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::GaborImageSource< TOutputImage >, itk::GridImageSource< TOutputImage >, itk::TimeVaryingVelocityFieldIntegrationImageFilter< TTimeVaryingVelocityField, TDisplacementField >, itk::AggregateLabelMapFilter< TImage >, itk::StatisticsUniqueLabelMapFilter< TImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >, itk::TernaryGeneratorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage, TInternalPixel >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::ShiftScaleLabelMapFilter< TImage >, itk::VnlInverseFFTImageFilter< TInputImage, TOutputImage >, itk::ConvolutionImageFilterBase< TInputImage, TKernelImage, TOutputImage >, itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >, itk::TernaryGeneratorImageFilter< TMask, TImage, TImage, TImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TLabelMap, TOutputImage >, itk::LabelMapFilter< TImage, TImage >, itk::ConvolutionImageFilterBase< TInputImage, TKernelSource::OutputImageType, TOutputImage >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >, itk::FlipImageFilter< TImage >, itk::KittlerIllingworthThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::MovingHistogramErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::IterativeInverseDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::LandmarkDisplacementFieldSource< TOutputImage >, itk::AutoCropLabelMapFilter< TInputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::VnlRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >, itk::GPUDiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::FrequencyBandImageFilter< TImageType, TFrequencyIterator >, itk::FastApproximateRankImageFilter< TInputImage, TOutputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::HuangThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::IntermodesThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::IsoDataThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MaximumEntropyThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MomentsThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::RenyiEntropyThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ShanbhagThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::TriangleThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::VoronoiSegmentationRGBImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::GradientAnisotropicDiffusionImageFilter< TInputImage, TOutputImage >, itk::CropLabelMapFilter< TInputImage >, itk::PadLabelMapFilter< TInputImage >, itk::ShapePositionLabelMapFilter< TImage >, itk::CheckerBoardImageFilter< TImage >, itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >, itk::PermuteAxesImageFilter< TImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::ModulusImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::YenThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::GrayscaleFunctionDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleFunctionErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::VnlForwardFFTImageFilter< TInputImage, TOutputImage >, itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >, itk::VTKImageToImageFilter< TOutputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::BinaryClosingByReconstructionImageFilter< TInputImage, TKernel >, itk::BinaryOpeningByReconstructionImageFilter< TInputImage, TKernel >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Clamp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFixedDimensionFunction< TMatrixDimension, TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TImage, TImage, Functor::BinaryNot< TImage::PixelType > >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< TInputImage::ImageDimension > > >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::DivideOrZeroOutImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::DilateObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >, itk::GetAverageSliceImageFilter< TInputImage, TOutputImage >, itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType >, itk::BasicDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::ErodeObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::MultiplyImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::VnlComplexToComplexFFTImageFilter< TImage >, itk::GPUMeanImageFilter< TInputImage, TOutputImage >, itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >, itk::Testing::StretchIntensityImageFilter< TInputImage, TOutputImage >, itk::PhysicalPointImageSource< TOutputImage >, itk::BasicErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >, itk::LabelOverlapMeasuresImageFilter< TLabelImage >, itk::TernaryAddImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::ImageSeriesReader< TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::Testing::ComparisonImageFilter< TInputImage, TOutputImage >, itk::SpatialFunctionImageEvaluatorFilter< TSpatialFunction, TInputImage, TOutputImage >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::GPUBoxImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >, itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >, itk::BoxMeanImageFilter< TInputImage, TOutputImage >, itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KernelImageFilter< TInputImage, TInputImage, TKernel >, itk::KernelImageFilter< TImageType, TImageType, TKernel >, itk::KernelImageFilter< TImage, TImage, TKernel >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::LevelSetDomainMapImageFilter< TInputImage, TOutputImage >, itk::GPUUnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GPUCast< TInputImage::PixelType, TOutputImage::PixelType >, CastImageFilter< TInputImage, TOutputImage > >, itk::GPUUnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GPUBinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType >, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::BoxImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::BoxSigmaImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TImage, ParametricPath< 2 >, TImage >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::NoiseBaseImageFilter< TInputImage, TOutputImage >, itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::VanHerkGilWermanErodeImageFilter< TImage, TKernel >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::VanHerkGilWermanDilateImageFilter< TImage, TKernel >, itk::VoronoiPartitioningImageFilter< TInputImage, TOutputImage >, itk::AnchorDilateImageFilter< TImage, TKernel >, and itk::AnchorErodeImageFilter< TImage, TKernel >.

◆ GetOutput() [1/3]

template<typename TOutputImage>
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( )

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Referenced by itk::CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >::AssignCannyInput(), and itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >::CheckOutsideValue().

◆ GetOutput() [2/3]

template<typename TOutputImage>
const OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( ) const

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

◆ GetOutput() [3/3]

template<typename TOutputImage>
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( unsigned int  idx)

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

◆ GraftNthOutput()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftNthOutput ( unsigned int  idx,
DataObject graft 
)
virtual

Graft the specified data object onto this ProcessObject's idx'th output. This is similar to the GraftOutput method except it allows you to specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfIndexedOutputs()). See the GraftOutput for general usage information.

◆ GraftOutput() [1/2]

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftOutput ( const DataObjectIdentifierType key,
DataObject graft 
)
virtual

◆ GraftOutput() [2/2]

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftOutput ( DataObject graft)
virtual

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to use as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin, Direction) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

// Setup the mini-pipeline to process the input to this filter
// The input is not connected to the pipeline.
typename InputImageType::Pointer input = InputImageType::New();
input->Graft( const_cast< InputImageType * >( this->GetInput() );
firstFilterInMiniPipeline->SetInput( input );
// setup the mini-pipeline to calculate the correct regions
// and write to the appropriate bulk data block
lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );
// execute the mini-pipeline
lastFilterInMiniPipeline->Update();
// graft the mini-pipeline output back onto this filter's output.
// this is needed to get the appropriate regions passed back.
this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

Reimplemented in itk::GPUImageToImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >, and itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >.

◆ MakeOutput() [1/2]

template<typename TOutputImage>
ProcessObject::DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( const ProcessObject::DataObjectIdentifierType )
overridevirtual

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Reimplemented from itk::ProcessObject.

◆ MakeOutput() [2/2]

template<typename TOutputImage>
ProcessObject::DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( ProcessObject::DataObjectPointerArraySizeType  idx)
overridevirtual

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

Reimplemented in itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, and itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > >.

◆ PrintSelf()

template<typename TOutputImage>
void itk::ImageSource< TOutputImage >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Reimplemented from itk::LightObject.

Reimplemented in itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFiniteDifferenceFunction, TIdCell >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, unsigned int >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::N4BiasFieldCorrectionImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::SymmetricEigenAnalysisFixedDimensionImageFilter< TMatrixDimension, TInputImage, TOutputImage >, itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::SparseFieldLevelSetImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::MultiphaseSparseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, itk::PatchBasedDenoisingBaseImageFilter< TInputImage, TOutputImage >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >, itk::DisplacementFieldToBSplineImageFilter< TInputImage, TInputPointSet, TOutputImage >, itk::SparseFieldFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::SymmetricEigenAnalysisImageFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::Testing::ExtractSliceImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >, itk::LabelMapContourOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::MaskImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >, itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::BinaryThresholdImageFilter< TInputImage, TOutputImage >, itk::MaskNegatedImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TOutputImageType >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TDisplacementField, TDisplacementField >, itk::ImageToImageFilter< TTimeVaryingVelocityField, TDisplacementField >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType, TInputVectorImage::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TLabelImage, TLabelImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< TDisplacementField, TOutputImage >, itk::ImageToImageFilter< TLabelMap, TOutputImage >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType, TInputImage::ImageDimension >, TInputImage::ImageDimension > >, itk::ImageToImageFilter< TMask, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDisplacementField >, itk::PatchBasedDenoisingImageFilter< TInputImage, TOutputImage >, itk::VoronoiSegmentationRGBImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, itk::IntensityWindowingImageFilter< TInputImage, TOutputImage >, itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::ObjectByObjectLabelMapFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::RecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::BSplineControlPointImageFilter< TInputImage, TOutputImage >, itk::RescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage, TVoronoiImage >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::LabelMapOverlayImageFilter< TLabelMap, TFeatureImage, TOutputImage >, itk::HistogramThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::FFTConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::FFTConvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage, double >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::TransformToDisplacementFieldFilter< TOutputImage, TParametersValueType >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageSeriesReader< TOutputImage >, itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::VTKImageImport< TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::ClampImageFilter< TInputImage, TOutputImage >, itk::InverseDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType, TKernel >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::ChangeLabelImageFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::UnsharpMaskImageFilter< TInputImage, TOutputImage, TInternalPrecision >, itk::SLICImageFilter< TInputImage, TOutputImage, TDistancePixel >, itk::BSplineResampleImageFilterBase< TInputImage, TOutputImage >, itk::BinaryThresholdProjectionImageFilter< TInputImage, TOutputImage >, itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::BinaryProjectionImageFilter< TInputImage, TOutputImage >, itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, Function::RankHistogram< TInputImage::PixelType > >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::AttributeSelectionLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::LandweberDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage, TOutputImage >, itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >, itk::VectorRescaleIntensityImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::LandmarkDisplacementFieldSource< TOutputImage >, itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >, itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TImage >, itk::InvertDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::ShapeLabelMapFilter< TImage, Image< TImage::PixelType, TImage::ImageDimension > >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage >, itk::LabelOverlayImageFilter< TInputImage, TLabelImage, TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::RandomImageSource< TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::AnisotropicDiffusionImageFilter< TInputImage, TOutputImage >, itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::ShotNoiseImageFilter< TInputImage, TOutputImage >, itk::MovingHistogramImageFilterBase< TImageType, TImageType, TKernel >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::ConvolutionImageFilterBase< TInputImage, TKernelImage, TOutputImage >, itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >, itk::ConvolutionImageFilterBase< TInputImage, TKernelSource::OutputImageType, TOutputImage >, itk::IterativeDeconvolutionImageFilter< TInputImage, TKernelSource::OutputImageType, TOutputImage >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramProbabilityFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramLogProbabilityFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramEntropyFunction< SizeValueType, TImage::PixelType > >, itk::HistogramToImageFilter< THistogram, TImage, Function::HistogramIntensityFunction< SizeValueType, TImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage >, itk::IntermodesThresholdImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GaussianImageSource< TOutputImage >, itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >, itk::MinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::WienerDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::RegionGrowImageFilter< TInputImage, TOutputImage >, itk::ComposeDisplacementFieldsImageFilter< TInputImage, TOutputImage >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::GenerateImageSource< TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::AreaOpeningImageFilter< TInputImage, TOutputImage, TAttribute >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::FFTWHalfHermitianToRealInverseFFTImageFilter< TInputImage, TOutputImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::LevelSetDomainMapImageFilter< TInputImage, TOutputImage >, itk::AreaClosingImageFilter< TInputImage, TOutputImage, TAttribute >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::SliceImageFilter< TInputImage, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::MaskedRankImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel >, itk::RankImageFilter< TInputImage, TOutputImage, TKernel >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::ExponentialDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TDisplacementField, TDisplacementField >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TImageType, TImageType >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TMask, TImage >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::BinShrinkImageFilter< TInputImage, TOutputImage >, itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::FFTWInverseFFTImageFilter< TInputImage, TOutputImage >, itk::InvertIntensityImageFilter< TInputImage, TOutputImage >, itk::GridImageSource< TOutputImage >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::SaltAndPepperNoiseImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::FFTWForwardFFTImageFilter< TInputImage, TOutputImage >, itk::FFTWRealToHalfHermitianForwardFFTImageFilter< TInputImage, TOutputImage >, itk::InterpolateImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage, TInternalPixel >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ParametricBlindLeastSquaresDeconvolutionImageFilter< TInputImage, TKernelSource, TOutputImage >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::HardConnectedComponentImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GridForwardWarpImageFilter< TDisplacementField, TOutputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::IterativeInverseDisplacementFieldImageFilter< TInputImage, TOutputImage >, itk::AnisotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::InverseDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceSparseImageFilter< TInputImage, TSparseOutputImage >, itk::DenseFiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::LabelToRGBImageFilter< TLabelImage, TOutputImage >, itk::DenseFiniteDifferenceImageFilter< TDisplacementField, TDisplacementField >, itk::TikhonovDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::Testing::ComparisonImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::ErodeObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::FastApproximateRankImageFilter< TInputImage, TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >, itk::AttributeUniqueLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::IsotropicFourthOrderLevelSetImageFilter< TInputImage, TOutputImage >, itk::RichardsonLucyDeconvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >, itk::BSplineCenteredResampleImageFilterBase< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::GPUDiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Functor::MinimumAccumulator< TInputImage::PixelType > >, itk::Testing::StretchIntensityImageFilter< TInputImage, TOutputImage >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GaborImageSource< TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryOpeningByReconstructionImageFilter< TInputImage, TKernel >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, itk::MovingHistogramMorphologyImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >, itk::BSplineL2ResampleImageFilterBase< TInputImage, TOutputImage >, itk::FFTPadImageFilter< TInputImage, TOutputImage >, itk::TensorFractionalAnisotropyImageFilter< TInputImage, TOutputImage >, itk::TensorRelativeAnisotropyImageFilter< TInputImage, TOutputImage >, itk::AttributeRelabelLabelMapFilter< TImage, Functor::LabelLabelObjectAccessor< TImage::LabelObjectType > >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::BSplineCenteredL2ResampleImageFilterBase< TInputImage, TOutputImage >, itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::StochasticFractalDimensionImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >, itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >, itk::KernelImageFilter< TInputImage, TInputImage, TKernel >, itk::KernelImageFilter< TImageType, TImageType, TKernel >, itk::KernelImageFilter< TImage, TImage, TKernel >, itk::UnsharpMaskLevelSetImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryClosingByReconstructionImageFilter< TInputImage, TKernel >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TImage, ParametricPath< 2 >, TImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::SpatialFunctionImageEvaluatorFilter< TSpatialFunction, TInputImage, TOutputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::PadImageFilterBase< TInputImage, TOutputImage >, itk::VoronoiPartitioningImageFilter< TInputImage, TOutputImage >, itk::LabelMapToAttributeImageFilter< TInputImage, TOutputImage, TAttributeAccessor >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >, itk::GPUImageToImageFilter< TInputImage, TOutputImage, DiscreteGaussianImageFilter< TInputImage, TOutputImage > >, itk::ParametricImageSource< TOutputImage >, itk::DilateObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BoxImageFilter< TInputImage, TOutputImage >, itk::CyclicShiftImageFilter< TInputImage, TOutputImage >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, TCompare1, TCompare2 >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::less< TImage::PixelType > >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::greater< TImage::PixelType > >, itk::GPUMeanImageFilter< TInputImage, TOutputImage >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, TFunction1 >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MinFunctor< TImage::PixelType > >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MaxFunctor< TImage::PixelType > >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, TFunction1 >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::greater< TImage::PixelType > >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::less< TImage::PixelType > >, itk::GPUBoxImageFilter< TInputImage, TOutputImage, MeanImageFilter< TInputImage, TOutputImage > >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, BinaryThresholdImageFilter< TInputImage, TOutputImage > >, itk::GPUInPlaceImageFilter< TInputImage, TOutputImage, CastImageFilter< TInputImage, TOutputImage > >, itk::GetAverageSliceImageFilter< TInputImage, TOutputImage >, itk::NoiseBaseImageFilter< TInputImage, TOutputImage >, itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >, itk::DivideOrZeroOutImageFilter< TInputImage1, TInputImage2, TOutputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::MultiLabelSTAPLEImageFilter< TInputImage, TOutputImage, TWeights >, itk::STAPLEImageFilter< TInputImage, TOutputImage >, itk::LabelVotingImageFilter< TInputImage, TOutputImage >, itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >, itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::MultiphaseDenseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, and itk::MultiphaseDenseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction >.

◆ SetDynamicMultiThreading()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::SetDynamicMultiThreading ( bool  _arg)
protectedvirtual

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

◆ SplitRequestedRegion()

template<typename TOutputImage>
virtual unsigned int itk::ImageSource< TOutputImage >::SplitRequestedRegion ( unsigned int  i,
unsigned int  pieces,
OutputImageRegionType splitRegion 
)
protectedvirtual

Split the output's RequestedRegion into "pieces" pieces, returning region "i" as "splitRegion". This method is called concurrently "pieces" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "pieces".

To override the algorithm used split the image this method should no longer be overridden. Instead, the algorithm should be implemented in a ImageRegionSplitterBase class, and the GetImageRegionSplitter should overridden to return the splitter object with the desired algorithm.

See also
GetImageRegionSplitter

Reimplemented in itk::BSplineControlPointImageFilter< TInputImage, TOutputImage >, and itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >.

◆ ThreadedGenerateData()

template<typename TOutputImage>
virtual void itk::ImageSource< TOutputImage >::ThreadedGenerateData ( const OutputImageRegionType region,
ThreadIdType  threadId 
)
protectedvirtual

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData() or DynamicThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call (Dynamic)ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of (Dynamic)ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a (Dynamic)ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The (Dynamic)ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. (Dynamic)ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

DynamicThreadedGenerateData() is the newer variant without threadId, and is the preferred signature, which is called by default. This variant can split the requested region into different number of pieces depending on current multi-processing load, which allows better load balancing. The non-dynamic (also known as classic) ThreadedGenerateData() signature has threadId, and number of pieces to be split into is known in advance. It is activated by calling this->DynamicMultiThreadingOff(); in derived class constructor. It should be used when the multi-threaded algorithm needs to pre-allocate some data structure with size dependent on the number of pieces (also known as chunks, work units, and sometimes also incorrectly as threads). Only PlatformMultiThreader guarantees that each piece will be processed in its own specific thread. Pool and TBB multi-threaders maintain a pool of threads (normally equal to number of processing cores) which they use to process the pieces. This normally results in a single thread being reused to process multiple work units.

See also
GenerateData(), SplitRequestedRegion()

Reimplemented in itk::Testing::ComparisonImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TLabelMap, TOutputImage >, itk::LabelMapFilter< TImage, TImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::ShotNoiseImageFilter< TInputImage, TOutputImage >, itk::SaltAndPepperNoiseImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >, itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >, and itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >.

◆ ThreaderCallback()

template<typename TOutputImage>
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION itk::ImageSource< TOutputImage >::ThreaderCallback ( void *  arg)
staticprotected

Static function used as a "callback" by the classic MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

Member Data Documentation

◆ m_DynamicMultiThreading

template<typename TOutputImage>
bool itk::ImageSource< TOutputImage >::m_DynamicMultiThreading
protected

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );
anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();
image->Update();
someFilter->Update();
image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Definition at line 404 of file itkImageSource.h.

◆ OutputImageDimension

template<typename TOutputImage>
constexpr unsigned int itk::ImageSource< TOutputImage >::OutputImageDimension = TOutputImage::ImageDimension
staticconstexpr

ImageDimension constant

Definition at line 96 of file itkImageSource.h.


The documentation for this class was generated from the following file:
itk::ImageSource::GraftOutput
virtual void GraftOutput(DataObject *graft)
itk::ImageSource::GetOutput
OutputImageType * GetOutput()
itk::ProcessObject::GetInput
DataObject * GetInput(const DataObjectIdentifierType &key)
Return an input.